The Resource Center
The Promise of AI conversational Analytics to Businesses
While many of the initial implementations of analytics were aimed at cutting cost, improving quality assurance or guaranteeing compliance, but its promise goes far beyond this. Most solution providers note that the improvement of customer experience has grown rapidly in popularity and is a key reason for many of the analytics implementations today. No other contact center technology provides the business with this level of potential insight that goes far beyond the boundaries of the contact center, and can offer genuine and quantifiable ways in which customer experience and sub-optimal business processes can be improved.
How AI reveals insights into customer issues - The Use-Cases
The route to modern AI requires contact centers to run on AI-powered intelligence, a technology that systematically capture data across channels, interactions and users, analyze customer conversations, offering huge opportunities to gain business insight, improve
operational efficiency and develop agent performance.
Depending on the type of business, the issues being faced and even the type of technology being implemented, drivers, inhibitors and return on investment can differ greatly, here follows some materials shedding light on the use-cases of AI powered conversational analytics within the Telco and Finance sectors:
Use of Artificial Intelligence in Banking World today
Whitepaper
There are hundreds of opportunities to leverage AI and machine learning in every line of business and function in a bank. With automated machine learning, banks large and small around the world can drive revenue growth, differentiate themselves through superior client experience, reduce operational costs while improving quality, and improve risk management effectiveness and efficiency.
Why AI-enabled customer service is key to scaling telco personalization
Whitepaper
A growing number of telcos are harnessing AI next-best-action engines that use data-based insights for objectives such as enhancing customer experience, boosting cross-selling and upselling, reducing churn, improving retention, and acquiring new customers.
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In addition to the cascading benefits of superior customer experience, we estimate that within three years, this approach will allow operators to cut costs associated with certain use cases by up to 30 percent, boost overall B2C revenues by 2 to 4 percent, improve customer satisfaction by 10 to 20 percent, and reduce early-life churn by as much as 30 percent—on top of gains from ongoing commercial customer value management activities.